Predictive Scientific Data Steward & R&D Data Architect

Mars, Incorporated and its Affiliates; Aimargues; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Royal Canin’s Predictive Research Scientist – Scientific Data Steward will act as the central data architect for R&D, ensuring data is collected, standardized and stored securely for advanced data modeling. You will build robust data governance and repeatable ingestion pipelines across research data streams.

You will lead data models, catalogs and EDC configurations (Prelude/Monarch), while training researchers and external partners on data uploads and study design standards.

Qualifications

• Master's or PhD in Biological/Biochemical/Animal Science with postgraduate data management certification.
• Minimum 3+ years in clinical database design or research data management in life sciences.
• Fluency in written and spoken English is mandatory.

Responsabilités

• Design and deploy unified research data models, master data schemas, and metadata standards across Royal Canin R&D.
• Lead configuration, testing, and lifecycle maintenance of clinical databases and EDC schemes such as Prelude and Monarch.
• Create a thesaurus of data across R&D to enable fast search and future studies.
• Ensure data compliance with international guidelines (GCP) and internal Mars R&D standards.

Connaissances

Data governance

Data modeling

FAIR data principles

Metadata standards

Clinical data management

Formation

Master's or PhD in Biological/ Biochemical/ Animal Science

Postgraduate degree or certification in Clinical Data Management/Health Informatics/Database Engineering

Outils

Prelude

Monarch

EDC systems

Cloud data warehouses

Description du poste

Royal Canin’s Predictive Research Scientist – Scientific Data Steward will act as the central data architect for R&D, ensuring data is collected, standardized and stored securely for advanced data modeling. You will build robust data governance and repeatable ingestion pipelines across research data streams.

You will lead data models, catalogs and EDC configurations (Prelude/Monarch), while training researchers and external partners on data uploads and study design standards.